10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

22nd - 23rd July 2026 | Phoenix, USA

International Conference on Hydrological Data Assimilation and Forecasting (ICHDAF - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICHDAF) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Hydrology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data assimilation techniques in hydrology
02
Forecasting hydrological extremes and variability
03
Remote sensing applications in hydrological data
04
Integrating observational data into models
05
Real-time data assimilation for forecasting
06
Hydrological data quality and uncertainty
07
Advancements in hydrological forecasting methods
08
Machine learning in hydrological data assimilation
09
Hydrological modeling with sparse data
10
Collaborative data sharing for hydrology
11
Impact of climate data on forecasting accuracy
12
Hydrological forecasts for water resource management
13
Statistical methods in hydrological forecasting
14
Hydrological data assimilation in urban areas
15
Innovative sensors for hydrological monitoring
16
Hydrological data assimilation in arid regions
17
Forecasting water quality using hydrological models
18
Hydrology and big data analytics
19
Evaluating forecasting models in hydrology
20
Future directions in hydrological data assimilation

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.